Job Description

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience and a Master's degree).

Preferred qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

About the job

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

Responsibilities

• Help push the limits of product analysis, experiment design, causal inference, and metrics work, collaborating closely with software engineers, product managers, and other data scientists on business-critical product launches.
• Work as part of a team of analysts to run product analysis work, provide guidance for our biggest launches, and push the limits of our metrics, methods, and measurement capabilities.
• Collaborate closely with our engineering and product partners, help identify opportunities for our ads products, navigate rapidly changing demands, and work on solutions for complex, ambiguous, high-visibility business challenges.
• Share results with decision makers, upholding the Ads Metrics team's very high accuracy in methods, code, analysis reports, and presentations.